A Finger-Shaped Tactile Sensor for Fabric Surfaces Evaluation by 2-Dimensional Active Sliding Touch
Identifieur interne : 001502 ( Main/Curation ); précédent : 001501; suivant : 001503A Finger-Shaped Tactile Sensor for Fabric Surfaces Evaluation by 2-Dimensional Active Sliding Touch
Auteurs : Haihua Hu ; Yezhen Han ; Aiguo Song ; Shanguang Chen ; Chunhui Wang ; Zheng WangSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2014.
Abstract
Sliding tactile perception is a basic function for human beings to determine the mechanical properties of object surfaces and recognize materials. Imitating this process, this paper proposes a novel finger-shaped tactile sensor based on a thin piezoelectric polyvinylidene fluoride (PVDF) film for surface texture measurement. A parallelogram mechanism is designed to ensure that the sensor applies a constant contact force perpendicular to the object surface, and a 2-dimensional movable mechanical structure is utilized to generate the relative motion at a certain speed between the sensor and the object surface. By controlling the 2-dimensional motion of the finger-shaped sensor along the object surface, small height/depth variation of surface texture changes the output charge of PVDF film then surface texture can be measured. In this paper, the finger-shaped tactile sensor is used to evaluate and classify five different kinds of linen. Fast Fourier Transformation (FFT) is utilized to get original attribute data of surface in the frequency domain, and principal component analysis (PCA) is used to compress the attribute data and extract feature information. Finally, low dimensional features are classified by Support Vector Machine (SVM). The experimental results show that this finger-shaped tactile sensor is effective and high accurate for discriminating the five textures.
Url:
DOI: 10.3390/s140304899
PubMed: 24618775
PubMed Central: 4003973
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Finger-Shaped Tactile Sensor for Fabric Surfaces Evaluation by 2-Dimensional Active Sliding Touch</title><author><name sortKey="Hu, Haihua" sort="Hu, Haihua" uniqKey="Hu H" first="Haihua" last="Hu">Haihua Hu</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Han, Yezhen" sort="Han, Yezhen" uniqKey="Han Y" first="Yezhen" last="Han">Yezhen Han</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Song, Aiguo" sort="Song, Aiguo" uniqKey="Song A" first="Aiguo" last="Song">Aiguo Song</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Chen, Shanguang" sort="Chen, Shanguang" uniqKey="Chen S" first="Shanguang" last="Chen">Shanguang Chen</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author><author><name sortKey="Wang, Chunhui" sort="Wang, Chunhui" uniqKey="Wang C" first="Chunhui" last="Wang">Chunhui Wang</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author><author><name sortKey="Wang, Zheng" sort="Wang, Zheng" uniqKey="Wang Z" first="Zheng" last="Wang">Zheng Wang</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24618775</idno><idno type="pmc">4003973</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003973</idno><idno type="RBID">PMC:4003973</idno><idno type="doi">10.3390/s140304899</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">002474</idno><idno type="wicri:Area/Pmc/Curation">002474</idno><idno type="wicri:Area/Pmc/Checkpoint">000E71</idno><idno type="wicri:Area/Ncbi/Merge">002D84</idno><idno type="wicri:Area/Ncbi/Curation">002D84</idno><idno type="wicri:Area/Ncbi/Checkpoint">002D84</idno><idno type="wicri:Area/Main/Merge">001508</idno><idno type="wicri:Area/Main/Curation">001502</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A Finger-Shaped Tactile Sensor for Fabric Surfaces Evaluation by 2-Dimensional Active Sliding Touch</title><author><name sortKey="Hu, Haihua" sort="Hu, Haihua" uniqKey="Hu H" first="Haihua" last="Hu">Haihua Hu</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Han, Yezhen" sort="Han, Yezhen" uniqKey="Han Y" first="Yezhen" last="Han">Yezhen Han</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Song, Aiguo" sort="Song, Aiguo" uniqKey="Song A" first="Aiguo" last="Song">Aiguo Song</name><affiliation><nlm:aff id="af1-sensors-14-04899"> School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; E-Mails:<email>huhaihuadongda@hotmail.com</email> (H.H.);<email>220122600@seu.edu.cn</email> (Y.H.)</nlm:aff></affiliation></author><author><name sortKey="Chen, Shanguang" sort="Chen, Shanguang" uniqKey="Chen S" first="Shanguang" last="Chen">Shanguang Chen</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author><author><name sortKey="Wang, Chunhui" sort="Wang, Chunhui" uniqKey="Wang C" first="Chunhui" last="Wang">Chunhui Wang</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author><author><name sortKey="Wang, Zheng" sort="Wang, Zheng" uniqKey="Wang Z" first="Zheng" last="Wang">Zheng Wang</name><affiliation><nlm:aff id="af2-sensors-14-04899"> National Key Laboratory of Human Factors Engineering, Beijing 100094, China; E-Mails:<email>shanguang_chen_hf@163.com</email> (S.C.);<email>Chunhui_wang_hf@126.com</email> (C.W.);<email>zheng_wang_hf@yeah.net</email> (Z.W.)</nlm:aff></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Sliding tactile perception is a basic function for human beings to determine the mechanical properties of object surfaces and recognize materials. Imitating this process, this paper proposes a novel finger-shaped tactile sensor based on a thin piezoelectric polyvinylidene fluoride (PVDF) film for surface texture measurement. A parallelogram mechanism is designed to ensure that the sensor applies a constant contact force perpendicular to the object surface, and a 2-dimensional movable mechanical structure is utilized to generate the relative motion at a certain speed between the sensor and the object surface. By controlling the 2-dimensional motion of the finger-shaped sensor along the object surface, small height/depth variation of surface texture changes the output charge of PVDF film then surface texture can be measured. In this paper, the finger-shaped tactile sensor is used to evaluate and classify five different kinds of linen. Fast Fourier Transformation (FFT) is utilized to get original attribute data of surface in the frequency domain, and principal component analysis (PCA) is used to compress the attribute data and extract feature information. Finally, low dimensional features are classified by Support Vector Machine (SVM). The experimental results show that this finger-shaped tactile sensor is effective and high accurate for discriminating the five textures.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Roberta, L K" uniqKey="Roberta L">L.K. Roberta</name></author><author><name sortKey="Susan, L" uniqKey="Susan L">L. Susan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wataru, W" uniqKey="Wataru W">W. Wataru</name></author><author><name sortKey="Katsuhito, A" uniqKey="Katsuhito A">A. Katsuhito</name></author><author><name sortKey="Masaharu, I" uniqKey="Masaharu I">I. 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